Hi Troels,
For this change, you have introduced the chi2_rankN() function, but it
is still calculated per experiment. As this model is almost always
used with up to 6 different experiments, this will still be slower
than what is possible. You should change this to match the other
target functions - shift it out of the experiment loop. It can happen
at the very end, exactly as in the other target function func_*()
methods you have speed up. The cleaning up of the data structure
where there are no dispersion points and the missing data handling
should also be shifted outside of the experiment loop for speed. The
design of your new numpy array structures should handle this, as they
all have the experiment index.
Regards,
Edward
On 16 June 2014 19:58, <tlinnet@xxxxxxxxxxxxx> wrote:
Author: tlinnet
Date: Mon Jun 16 19:58:17 2014
New Revision: 23996
URL: http://svn.gna.org/viewcvs/relax?rev=23996&view=rev
Log:
Removed looping over spin and frequencies for model MMD CR72.
Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion
models for Clustered analysis.
Modified:
branches/disp_spin_speed/target_functions/relax_disp.py
[This mail would be too long, it was shortened to contain the URLs only.]
Modified: branches/disp_spin_speed/target_functions/relax_disp.py
URL:
http://svn.gna.org/viewcvs/relax/branches/disp_spin_speed/target_functions/relax_disp.py?rev=23996&r1=23995&r2=23996&view=diff
_______________________________________________
relax (http://www.nmr-relax.com)
This is the relax-commits mailing list
relax-commits@xxxxxxx
To unsubscribe from this list, get a password
reminder, or change your subscription options,
visit the list information page at
https://mail.gna.org/listinfo/relax-commits
Re: r23996 - /branches/disp_spin_speed/target_functions/relax_disp.py